{"id":"https://openalex.org/W4379983357","doi":"https://doi.org/10.1109/tcsvt.2023.3284856","title":"Pseudo-Supervised Low-Light Image Enhancement With Mutual Learning","display_name":"Pseudo-Supervised Low-Light Image Enhancement With Mutual Learning","publication_year":2023,"publication_date":"2023-06-09","ids":{"openalex":"https://openalex.org/W4379983357","doi":"https://doi.org/10.1109/tcsvt.2023.3284856"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3284856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3284856","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054429480","display_name":"Yu Luo","orcid":"https://orcid.org/0000-0003-3968-9725"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Luo","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037935532","display_name":"Baokang You","orcid":"https://orcid.org/0000-0001-5333-9436"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bijia You","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030883042","display_name":"Guanghui Yue","orcid":"https://orcid.org/0000-0002-6761-8767"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Yue","raw_affiliation_strings":["School of Biomedical Engineering and the Shenzhen University Medical School, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering and the Shenzhen University Medical School, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071647529","display_name":"Jie Ling","orcid":"https://orcid.org/0000-0001-7736-1566"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Ling","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054429480"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":3.6438,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94586437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"34","issue":"1","first_page":"85","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7755177021026611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905808448791504},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.629607617855072},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5688695907592773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5344032049179077},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5083498358726501},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49689868092536926},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.495369553565979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35271981358528137},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11051836609840393}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7755177021026611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905808448791504},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.629607617855072},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5688695907592773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5344032049179077},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5083498358726501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49689868092536926},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.495369553565979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35271981358528137},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11051836609840393},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3284856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3284856","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G2138836450","display_name":null,"funder_award_id":"RCBS20200714114920379","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G6519355659","display_name":null,"funder_award_id":"2019A1515111205","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6990224084","display_name":null,"funder_award_id":"JCYJ20190808145011259","funder_id":"https://openalex.org/F4320316880","funder_display_name":"Natural Science Foundation of Shenzhen City"},{"id":"https://openalex.org/G7596383720","display_name":null,"funder_award_id":"62001302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8679294037","display_name":null,"funder_award_id":"2021A1515011348","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320316880","display_name":"Natural Science Foundation of Shenzhen City","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325571","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70"},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1580436348","https://openalex.org/W1821462560","https://openalex.org/W1978461177","https://openalex.org/W1982471090","https://openalex.org/W1987444808","https://openalex.org/W2011260964","https://openalex.org/W2011592399","https://openalex.org/W2054814429","https://openalex.org/W2058333183","https://openalex.org/W2090938122","https://openalex.org/W2102166818","https://openalex.org/W2121900453","https://openalex.org/W2147421915","https://openalex.org/W2150721269","https://openalex.org/W2154549868","https://openalex.org/W2254039850","https://openalex.org/W2412926690","https://openalex.org/W2468596194","https://openalex.org/W2523532944","https://openalex.org/W2566376500","https://openalex.org/W2620998106","https://openalex.org/W2769277030","https://openalex.org/W2791710889","https://openalex.org/W2799265886","https://openalex.org/W2935842779","https://openalex.org/W2938539052","https://openalex.org/W2948354154","https://openalex.org/W2953995585","https://openalex.org/W2963228457","https://openalex.org/W2981718299","https://openalex.org/W2995081268","https://openalex.org/W3003838261","https://openalex.org/W3007628345","https://openalex.org/W3034347506","https://openalex.org/W3035542568","https://openalex.org/W3035731588","https://openalex.org/W3108411658","https://openalex.org/W3119456559","https://openalex.org/W3121661546","https://openalex.org/W3125869362","https://openalex.org/W3154123740","https://openalex.org/W3174792937","https://openalex.org/W4210769117","https://openalex.org/W4226245048","https://openalex.org/W4280521332","https://openalex.org/W4285240117","https://openalex.org/W4293523250","https://openalex.org/W4294690817","https://openalex.org/W4297094443","https://openalex.org/W4310138363","https://openalex.org/W4312249431","https://openalex.org/W4313014623","https://openalex.org/W4315928962","https://openalex.org/W4319996358","https://openalex.org/W4324125324","https://openalex.org/W4324387079","https://openalex.org/W6638523607","https://openalex.org/W6754146604","https://openalex.org/W6758801729","https://openalex.org/W6761208571","https://openalex.org/W6774322041","https://openalex.org/W6797871071"],"related_works":["https://openalex.org/W3196155444","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W4297883248","https://openalex.org/W4255830763","https://openalex.org/W1583266947","https://openalex.org/W4286799911","https://openalex.org/W3148060700","https://openalex.org/W3080681248","https://openalex.org/W4390062853"],"abstract_inverted_index":{"Low-light":[0],"image":[1,26,130,135],"enhancement":[2],"(LIE)":[3],"is":[4,89],"important":[5],"for":[6,72,96],"many":[7,184],"high-level":[8],"vision":[9],"tasks":[10],"as":[11,91],"the":[12,21,24,51,66,73,92,99,112,117,128,132,137,140,145,154,161],"poor":[13],"visibility":[14],"of":[15,23,39,45,68,120,172],"underexposed":[16],"images":[17,101],"can":[18],"severely":[19],"degrade":[20],"performance":[22,182],"subsequent":[25],"recognition,":[27],"analysis,":[28],"etc.":[29],"Although":[30],"recent":[31],"deep-learning-based":[32],"LIE":[33,63,168],"methods":[34,169],"exhibit":[35],"promising":[36],"performance,":[37],"most":[38,165],"them":[40],"require":[41],"a":[42,61,80,85],"large":[43],"number":[44],"paired":[46],"training":[47],"images,":[48],"thereby":[49],"limiting":[50],"practicability":[52],"to":[53,83,105,110],"real":[54],"scenarios.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,77],"propose":[60],"pseudo-supervised":[62],"method":[64,163],"with":[65],"integration":[67],"mutual":[69,124,141],"learning.":[70,125],"Specifically,":[71],"given":[74],"low-light":[75,134],"image,":[76,87],"first":[78],"use":[79],"quadratic":[81],"curve":[82],"generate":[84],"pseudo-clear":[86],"which":[88],"served":[90],"auxiliary":[93],"ground":[94],"truth":[95],"supervision,":[97],"then":[98],"pseudo-paired":[100],"are":[102],"simultaneously":[103],"input":[104,133],"two":[106,121,146],"parallel":[107],"homogeneous":[108],"branches":[109,122,147],"learn":[111,148],"expected":[113],"enhanced":[114],"result":[115],"through":[116],"knowledge":[118],"distillation":[119],"via":[123],"As":[126],"both":[127,173],"generated":[129],"and":[131,152,175,178,186],"underlies":[136],"desired":[138],"solution,":[139],"learning":[142],"strategy":[143],"enables":[144],"from":[149],"each":[150],"other":[151],"produce":[153],"final":[155],"results.":[156],"Extensive":[157],"experiments":[158],"demonstrate":[159],"that":[160],"proposed":[162],"outperforms":[164],"existing":[166],"unsupervised":[167],"in":[170],"terms":[171],"qualitative":[174],"quantitative":[176],"evaluations,":[177],"also":[179],"achieves":[180],"competitive":[181],"against":[183],"supervised":[185],"semi-supervised":[187],"methods.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
